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A Machine Learning Framework for Drill-Core Mineral Mapping Using Hyperspectral and High-Resolution Mineralogical Data Fusion., , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 12 (12): 4829-4842 (2019)Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis., , , , , and . Remote. Sens., 12 (15): 2421 (2020)The Need for Multi-Source, Multi-Scale Hyperspectral Imaging to Boost Non-Invasive Mineral Exploration., , , , , , , , , and 4 other author(s). IGARSS, page 7430-7433. IEEE, (2018)Extraction of Structural and Mineralogical Features from Hyperspectral Drill-Core Scans., , , , , , and . IGARSS, page 4070-4073. IEEE, (2018)Drill-Core Mineral Abundance Estimation Using Hyperspectral and High-Resolution Mineralogical Data., , , , , , and . Remote. Sens., 12 (7): 1218 (2020)Geochemical And Hyperspectral Data Fusion For Drill-Core Mineral Mapping., , , , , and . WHISPERS, page 1-4. IEEE, (2019)The Application Of Subspace Clustering Algorithms In Drill-Core Hyperspectral Domaining., , , , and . WHISPERS, page 1-5. IEEE, (2019)A Machine Learning Technique for Drill Core Hyperspectral Data Analysis., , , , and . WHISPERS, page 1-5. IEEE, (2018)Integrated Geological and Geophysical Mapping of a Carbonatite-Hosting Outcrop in Siilinjärvi, Finland, Using Unmanned Aerial Systems., , , , , , , , , and 1 other author(s). Remote. Sens., 12 (18): 2998 (2020)Integration of Terrestrial and Drone-Borne Hyperspectral and Photogrammetric Sensing Methods for Exploration Mapping and Mining Monitoring., , , , , , , , and . Remote. Sens., 10 (9): 1366 (2018)